Staged Training Report ✓ Complete

Run ID: shoulder_session_10_min
Generated: 2026-02-15 10:59:36
Stages Completed: 1
Total Elapsed Time: 00:52:19

Configuration

No config defaults changed since last commit.

All Configuration Parameters (60 parameters)
ParameterValue
total_samples10000000
batch_size1
stage_samples_multiplier100000000000
update_interval250
window_size100
num_best_models_to_keep1
sampling_modeLoss-weighted
loss_weight_temperature0.5
loss_weight_refresh_interval50
stop_on_divergenceTrue
divergence_gap0.002
divergence_ratio1.5
divergence_patience20
divergence_min_updates5
val_spike_threshold2.0
val_spike_window15
val_spike_frequency0.75
val_plateau_patience100
val_plateau_min_delta0.0001
custom_lr0.0001
disable_lr_scalingTrue
custom_warmup-1
lr_min_ratio0.001
resume_warmup_ratio0.05
plateau_factor0.8
plateau_patience15
preserve_optimizerFalse
preserve_schedulerTrue
samples_modeTrain additional samples
num_random_obs_to_visualize2
selected_frame_offset3
runs_per_stage1
serial_runsTrue
clean_old_checkpointsTrue
enable_baselineFalse
baseline_runs_per_stage1
run_idshoulder_session_10_min
enable_wandbTrue
wandb_projectdevelopmental-robot-movement
lr_sweep.lr_min1e-07
lr_sweep.lr_max0.01
lr_sweep.phase_a_num_candidates5
lr_sweep.phase_a_seeds1
lr_sweep.phase_a_time_budget_min3.0
lr_sweep.phase_a_survivor_count2
lr_sweep.phase_b_seeds3
lr_sweep.phase_b_time_budget_min10.0
lr_sweep.ranking_metricmedian_best_val
lr_sweep.min_samples_before_timeout1000
lr_sweep.min_evals_before_stop5
lr_sweep.save_sweep_stateTrue
plateau_sweep.enabledTrue
plateau_sweep.plateau_ema_alpha0.9
plateau_sweep.plateau_improvement_threshold0.0005
plateau_sweep.plateau_patience25
plateau_sweep.cooldown_updates5
plateau_sweep.max_sweeps_per_stage2
plateau_sweep.min_sweep_improvement0.0
initial_sweep_enabledTrue
stage_time_budget_min180

Timing Summary

Stage Plateau Sweeps Sweep Time Training Time Stage Total
Stage 1 2 00:28:07 00:09:39 00:37:46
TOTAL 2 00:28:07 00:09:39 00:37:46

Plateau Sweep Details

Total Sweeps: 2
Stages with Sweeps: 1 of 1
Total Sweep Time: 00:28:07
Average Sweep Duration: 00:14:03

Stage 1: 2 sweeps

LR Progression: 5.6e-04 → 3.2e-05 → 1.0e-07

Sweep # Triggered At (samples) Wall Time Selected LR Duration
1 15,750 00:05:12 3.16e-05 00:14:04
2 23,250 00:21:42 1.00e-07 00:14:02

Stage Results

Stage Best Loss Stop Reason Samples Trained Time Sweeps LR (Initial→Final)
Stage 1 0.032016 divergence 6,000 00:37:46 2 5.6e-04→1.0e-07

Total Plateau Sweeps: 2

Stop Reason Breakdown

Loss Across Full Training Run

Loss Detail (Post Initial Drop)

Best Checkpoint

Name: best_model_auto_session_so101_ep0000_20260215_092819_shoulder_session_10_min_00023750_cont_val_0.032016.pth
Stage: 1
Hybrid Loss (full session): 0.035363

Learning Rate Timeline with Plateau Sweeps

Stage Progression

Stage Orig Loss Train Loss Time Samples Stop Reason
1 ⭐ 0.035363 0.032016 00:37:46 6000 divergence

Hybrid Loss Over Original Session (per Stage)

Stage 1 (Best) - Hybrid Loss: 0.035363

Sample Counts

Cumulative Across All Stages

Per Stage

Stage 1 (Best) - Total Samples: 6,000

Best Checkpoint Inference

Selected Frame 3

Action 0

Action 1

Action 2

Random Observations

Observation 1230

Action 0
Action 1
Action 2

Observation 1365

Action 0
Action 1
Action 2